Point Cloud Library: Difference between revisions
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While initial development targeted [[Linux]] operating systems and [[ROS (Robot Operating System)]], as of version 0.6, PCL has been released as an independent library and provides partial support for [[Linux]], [[Windows]], [[MacOS]], and [[Android_(operating_system)|Android]]. |
While initial development targeted [[Linux]] operating systems and [[ROS (Robot Operating System)]], as of version 0.6, PCL has been released as an independent library and provides partial support for [[Linux]], [[Windows]], [[MacOS]], and [[Android_(operating_system)|Android]]. |
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PCL is a large collaborative effort, and it would not exist without the contributions of several people. The current development team contains researchers and programmers from many different institutions around the world, including: [[National_Institute_of_Advanced_Industrial_Science_and_Technology|AIST]], [[UC_Berkeley|UC Berkeley]], [[Bonn_University|University of Bonn]], [[University_of_British_Columbia|University of British Columbia]], [[Freiburg_University|University of Freiburg]], Intel Research Seattle, [[LAAS/CNRS|LAAS/CNRS]], [[MIT]], [[Stanford_University|Stanford University]], [[Technical_University_of_Munich|TUM]], [[University_of_Tokyo|University of Tokyo]], [[Washington_University_in_St._Louis|WUSTL]], and [[Willow Garage]]<ref name=PCL_Authors>{{Citation |
PCL is a large collaborative effort, and it would not exist without the contributions of several people. The current development team contains researchers and programmers from many different institutions around the world, including: [[National_Institute_of_Advanced_Industrial_Science_and_Technology|AIST]], [[UC_Berkeley|UC Berkeley]], [[Bonn_University|University of Bonn]], [[University_of_British_Columbia|University of British Columbia]], [[Freiburg_University|University of Freiburg]], [[Intel_Corporation|Intel Research Seattle]], [[LAAS/CNRS|LAAS/CNRS]], [[MIT]], [[Stanford_University|Stanford University]], [[Technical_University_of_Munich|TUM]], [[University_of_Tokyo|University of Tokyo]], [[Washington_University_in_St._Louis|WUSTL]], and [[Willow Garage]]<ref name=PCL_Authors>{{Citation |
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| title = The list of PCL developers |
| title = The list of PCL developers |
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| url = http://pcl.ros.org/authors |
| url = http://pcl.ros.org/authors |
Revision as of 08:38, 24 January 2011
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Original author(s) | Willow Garage |
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Stable release | 0.7.1
/ January 9, 2011 |
Repository | |
Operating system | Cross-platform |
Type | Library |
License | BSD license |
Website | http://pointclouds.org/ |
PCL (Point Cloud Library) is an open source framework for n-D Point Clouds and 3D geometry processing. The library contains numerous state-of-the art algorithms including filtering, feature estimation, surface reconstruction, registration, model fitting and segmentation. PCL is released under the terms of the BSD license, and is open source software. It is free for commercial and research use.
Documentation
The central site for detailed PCL information is the PCL Wiki. In addition, the project has a mailing list for users and developers, publicly archived on Nabble.
History
PCL's development started in 2008 at Willow Garage, with the purpose to provide a 3D point cloud data processing backbone for ROS (Robot Operating System). Version 0.1 was released on March 10, 2009. [1] While initial development targeted Linux operating systems and ROS (Robot Operating System), as of version 0.6, PCL has been released as an independent library and provides partial support for Linux, Windows, MacOS, and Android.
PCL is a large collaborative effort, and it would not exist without the contributions of several people. The current development team contains researchers and programmers from many different institutions around the world, including: AIST, UC Berkeley, University of Bonn, University of British Columbia, University of Freiburg, Intel Research Seattle, LAAS/CNRS, MIT, Stanford University, TUM, University of Tokyo, WUSTL, and Willow Garage[2].
Programming language
The library is written entirely in C++, and makes use of Boost shared pointers for all its internal data structures.
OS Support
PCL runs under Linux, Mac OS, Windows, and Android. The user can get official releases or take the current snapshot under SVN from the project's website. PCL uses CMake.